CARDIN Michel-Alexandre

Dr. Michel-Alexandre Cardin is a Senior Lecturer (Associate Professor) in Computational Aided Engineering at the Dyson School of Design Engineering at Imperial College London.

His work focuses on the development and evaluation of new computer aided methodologies to support the design of engineering systems, with applications in infrastructure and financial systems. The work covers topics such as concept generation and selection, decision-making, machine learning, stochastic optimization, and uncertainty modeling.

His work focuses in particular on design for flexibility (also known as real options), a design paradigm aiming at enabling better adaptability, sustainability and resilience in complex engineered systems, with the goal of improving expected performance in the face of uncertainty and risks. His latest efforts explore the roles of AI and machine learning as part of this emerging paradigm.

Prior to joining Imperial College, Dr. Cardin was a faculty member at the National University of Singapore, and worked as a Quantitative Researcher in derivatives trading in the hedge fund industry. He holds a PhD in Engineering Systems and a Master of Science in Technology and Policy from MIT, a Master of Applied Science in Aerospace Engineering from the University of Toronto, and Honors BSc in Physics from McGill University in Canada. He is also a graduate from the Space Science Program at the International Space University.

Dr. Cardin is an associate editor of the INCOSE journal Systems Engineering, a member of the Editorial Review Board for IEEE Transactions on Engineering Management, and founding chairman of the organizing committee for the conference on Complex Systems Design and Management Asia.